本文实例为大家分享了python绘制热力图的具体代码,供大家参考,具体内容如下

python的热力图是用皮尔逊相关系数来查看两者之间的关联性。

#encoding:utf-8
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from matplotlib import cm
from matplotlib import axes
import pylab
pylab.mpl.rcParams[\'font.sans-serif\'] = [\'SimHei\']#防止中文乱码
pylab.mpl.rcParams[\'axes.unicode_minus\'] = False#防止中文乱码
def draw_heatmap(data,xlabels,ylabels):
  cmap = cm.Blues
  figure=plt.figure(facecolor=\'w\')
  ax=figure.add_subplot(2,1,1,position=[0.1,0.15,0.8,0.8])
  ax.set_yticks(range(len(ylabels)))
  ax.set_yticklabels(ylabels)
  ax.set_xticks(range(len(xlabels)))
  ax.set_xticklabels(xlabels)
  vmax=data[0][0]
  vmin=data[0][0]
  for i in data:
    for j in i:
      if j>vmax:
        vmax=j
      if j<vmin:
        vmin=j
  map=ax.imshow(data,interpolation=\'nearest\',cmap=cmap,aspect=\'auto\',vmin=vmin,vmax=vmax)
  cb = plt.colorbar(mappable=map,cax=None,ax=None,shrink=0.5)
  plt.xticks(rotation=90) # 将字体进行旋转
  plt.yticks(rotation=360)
  plt.show()
data = pd.read_csv(\'test.csv\',encoding=\'gbk\')
a = [[1063620,291288,213322,120233,972752,1896180,483012,1609664,413538,778350,420643,212472,2599510,1574470,254141],[258914,48064,31948,19534,142792,295841,69143,291524,78926,90238,79336,47938,454656,271486,35304],[517687,135483,68418,66670,301544,777798,307562,810314,234086,238859,145959,125258,1480672,764612,153237],[277377,38581,31145,17612,121162,254534,60746,253148,62054,93499,63346,36422,356036,212109,27758],[19030,2835,2174,1575,7325,18258,6837,23457,5340,5277,5120,4017,34122,21314,2961],[351720,107299,57186,55485,337368,563436,188368,563515,128047,178664,117886,72451,798121,444825,65599]]
 
 
xlabels= [u\'3C电子\',u\'房产家居\',u\'服饰\',u\'健康保健\',u\'金融财经\',u\'旅游\',u\'美容美体\',u\'汽车\',u\'求职&教育\',u\'奢侈品\',u\'体育健身\',u\'网游\',u\'休闲&爱好\',u\'影视娱乐\',u\'孕婴育儿\']
ylabels= [\'iphoneX\',\'mix2\',\'oppor11\',\'samsang\',\'vivo\',\'mate10\']
draw_heatmap(a,xlabels,ylabels)

结果:

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以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。

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